Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
Data security strategies and tactics are not one-size-fits-all. The resources needed to protect sensitive data at a global enterprise are likely very different at a small startup. But data security is essential for any business that collects, stores, and uses data – so, where do you begin? Read more…
High demands are placed on technology teams to support their businesses in an increasingly software-driven world. Developers are increasingly tasked with building applications to support digital transformation initiatives that enable enterprises to quickly introduce new business concepts, create optimized and personalized experiences that keep customers happy and the business ahead of the competition. Read more…
Guide to Achieving Faster Time to Value and ROI with Cloud Data Management
Organizations of all types are turning to intelligent, automated cloud-native data management to deliver cloud analytics that accelerates insights and drive innovation. Read more…
When and how to migrate data from SQL to NoSQL are matters of much debate. It can certainly be a daunting task, but when your SQL systems hit architectural limits or your cloud provider expenses skyrocket, it’s probably time to consider a move. Read more…
Discover the four key capabilities you should look for in an AI platform.
We all know the potential of AI is massive. It can transform everyday business data into increased revenue, cost savings, and new business opportunities. Read more…
But as cloud data workloads, regulations, and ecosystems evolve, managing data security at scale has overwhelmed data engineering teams. What can data platform owners do to return to simplicity?
In this eBook, you’ll learn: Read more…
Data-driven decision-making and the ability to drive meaningful insights from increasing volumes of data is no longer just a competitive advantage: it’s a requirement for business leaders.
However, as the volume and complexity of data grows, data teams still struggle to manage data migration and maintenance, causing new and growing information gaps as well as burnout across the teams. Read more…
While compliance requirements increase the number of strict limitations placed on data, the need for quick and easy access remains integral to the productive use of said data.
With data-driven businesses trapped in the middle, can this problem be solved while still meeting each side’s needs? Read more…
Organizations have been investing in data science, analytics, and BI resources and tools for years to reap the benefits of data-driven decision-making. But as sensitive data use has become more common – and even expected – and data rules and regulations expand and evolve, new challenges have emerged that threaten to hinder data pipelines and results. Read more…
MongoDB is widely used as an operational database, but there is typically a need for real-time analytics on MongoDB data for data applications and operational analytics. In this ebook, we discuss some of the challenges involved with running complex queries over large-scale data in MongoDB including performance impact on transactional workloads, lack of support for SQL and joins, performance Engineering effort for analytics. Read more…
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Featured Events
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IEEE Conference on Artificial Intelligence 2023
June 5 @ 8:00 am - June 6 @ 5:00 pmSanta Clara CA United States -
Enterprise Data Summit
June 7 -
CDAO Insurance 2023
June 13 - June 14 -
ODSC Europe 2023
June 14 - June 15London United Kingdom